.m

.m — CS2 Stats

NL76561198258591891[U:1:298326163]Steam profile ↗✓ No bans

856Tracked matches66%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating24,885Top 25% of 211,827 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#24294 of 258923 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,885 +3,230 26 Apr – 18 Oct · 3 days played
21,65524,899peak 24,89926 Apr18 Oct
24,999Peak Premier in tracked matches
1,890Highest Faceit ELO seen on CSDB
32Days played since 2025-01-30

Faceit ELO

  • At peak — 1,890
  • Next: Level 10 at 2,001 — 111 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

Premier CS Rating

  • 14 below peak (24,899)
  • Next: Red band at 25,000 — 115 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG.mPREMIER24,885 · Pink bandPEAK ELO1,890csdb.gg/stats

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Performance scores

Aim85
Positioning64
Utility52

0–100 skill scores via Leetify.

Recent form

HOT60–39–1Last 10060%Win rateWLWWLWTWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −68ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 444ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 465ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 499ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim8.5
Utility5.2
Positioning6.4
Opening Duels3.0
Clutch2.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

b1t

Plays most like b1t 95% playstyle similarity

Most alike: positioning profile, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.5
Positioning6.4
Utility5.2
Mechanics6.6
Opening Duels3.4
Win Impact10.0

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time511ms−58ms
first ⅓ avg 569ms → last ⅓ avg 511ms
Headshot accuracy17.0%−2.1%
first ⅓ avg 19.1% → last ⅓ avg 17.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.25Best match rating · 13–1 · mirage, 3 Oct →
37%Best headshot accuracy · 13–3 · train, 17 Apr →
359msFastest reaction time · 5–13 · ancient, 18 Oct →
13–0Biggest win · nuke, 17 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–2In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 78% over 9dust2Weakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeS2215–768%0.06
ancientS1511–473%0.02
cacheC125–742%0.03
mirageA106–460%0.04
infernoA95–456%0.02
trainS97–278%0.05
anubisA85–363%0.03
dust2D62–433%-0.01
overpass—31–233%0.01
boulder—11–0100%0.17
shelter—11–0100%-0.06
italy—10–10%-0.02
warden—10–10%0.03
alpine—10–10%-0.08
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

987Matches
52%Win rate
1.35Avg K/D
72.7ADR
37%Headshot %

Clutches & streaks

30%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1759%1.1815.9
Mirage1533%1.0714.0
Inferno1450%1.2716.2
Anubis1267%1.1515.6
Nuke1145%1.2714.9
Dust2757%0.9312.7
Vertigo667%1.5414.3
Cache1100%1.5015.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.6%Headshot accuracy
38.5%Accuracy (enemy spotted)
42.5%Spray accuracy
79.6%Counter-strafing
8.7°Preaim
502msReaction time
39.2%T opening success
48.0%CT opening success
0.50Enemies flashed / flash
3.0%Flash assists
7.61HE damage / grenade
9.98Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4967 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.2122% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–70.0418%18 Oct →
ancient5–13-0.0219%18 Oct →
dust213–30.0233%18 Oct →
dust213–70.0524%17 Oct →
cache7–130.017%17 Oct →
nuke13–00.059%17 Oct →
cache15–150.0015%17 Oct →
ancient13–11-0.0213%17 Oct →
nuke13–90.0011%17 Oct →
mirage13–80.039%17 Oct →
cache6–130.0829%3 Oct →
inferno13–80.0622%3 Oct →
mirage13–10.2514%3 Oct →
nuke3–13-0.068%10 Sept →
cache7–13-0.0219%10 Sept →
overpass13–80.0313%10 Sept →
cache2–13-0.078%10 Sept →
ancient4–13-0.0022%5 Sept →
ancient13–8-0.0319%5 Sept →
anubis13–30.0222%5 Sept →
cache13–80.2029%5 Sept →
nuke2–130.0824%5 Sept →
dust29–13-0.0316%5 Sept →
ancient13–70.1024%3 Sept →
boulder13–90.1718%3 Sept →
nuke13–50.1218%3 Sept →
anubis13–160.0114%3 Sept →
nuke13–110.005%3 Sept →
train13–00.010%3 Sept →
ancient13–30.1018%2 Sept →
cache8–13-0.0523%2 Sept →
train8–130.0321%2 Sept →
anubis13–20.0120%2 Sept →
ancient13–110.0619%2 Sept →
cache13–3-0.008%1 Sept →
shelter9–4-0.0610%1 Sept →
italy10–13-0.0212%1 Sept →
nuke13–11-0.0311%23 Aug →
dust29–13-0.0423%22 Aug →
mirage13–90.0321%22 Aug →
dust27–130.0315%22 Aug →
inferno13–50.0616%22 Aug →
cache13–5-0.0219%29 Apr →
cache13–50.1018%29 Apr →
cache11–130.0415%29 Apr →
cache13–110.1218%29 Apr →
warden10–130.039%28 Apr →
alpine1–13-0.0810%28 Apr →
ancient13–70.0823%26 Apr →
anubis13–110.049%26 Apr →
ancient2–13-0.0223%25 Apr →
ancient13–10-0.0510%25 Apr →
nuke13–20.0719%25 Apr →
ancient13–3-0.0020%25 Apr →
mirage4–13-0.0216%17 Apr →
inferno5–13-0.0333%17 Apr →
ancient13–110.0314%17 Apr →
ancient9–130.0216%17 Apr →
train13–30.0137%17 Apr →
anubis9–13-0.0115%17 Apr →
overpass4–13-0.0115%17 Apr →
nuke13–80.1418%16 Apr →
nuke13–20.1827%15 Apr →
dust29–13-0.0612%15 Apr →
nuke13–20.1510%14 Apr →
inferno13–40.0513%14 Apr →
mirage9–130.1318%14 Apr →
mirage13–100.0221%27 Jan →
vertigo13–60.0417%27 Jan →
train13–10.2023%27 Jan →
inferno13–110.0818%25 Jan →
inferno8–13-0.138%12 Oct →
overpass8–130.0131%12 Oct →
mirage13–50.0630%12 Oct →
nuke4–130.0525%26 Aug →
nuke5–13-0.0318%26 Aug →
nuke8–130.0423%26 Aug →
nuke13–60.1228%22 Aug →
nuke8–13-0.0814%8 Jul →
inferno11–130.0218%5 Jun →
anubis13–90.0326%5 Jun →
nuke13–100.1316%5 Jun →
inferno13–40.066%22 May →
inferno10–130.0418%3 May →
nuke2–13-0.0420%22 Apr →
nuke13–90.0317%16 Apr →
nuke13–40.1420%16 Apr →
ancient13–100.0220%4 Feb →
train13–40.0822%4 Feb →
train6–13-0.057%3 Feb →
anubis13–30.0919%3 Feb →
nuke13–70.1215%3 Feb →
train13–110.1325%3 Feb →
train13–100.0927%3 Feb →
anubis7–130.0319%3 Feb →
nuke13–50.0914%3 Feb →
train13–6-0.0410%30 Jan →
mirage2–13-0.0619%30 Jan →
mirage13–100.0219%30 Jan →
mirage3–13-0.0314%30 Jan →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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